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Strategies to convert hospital beds for COVID-19 patients to minimize emergency department overcrowding.
Nattino, Giovanni; Paganuzzi, Marco Maria; Ghilardi, Giulia Irene; Costantino, Giorgio; Rossi, Carlotta; Cortellaro, Francesca; Cosentini, Roberto; Paglia, Stefano; Migliori, Maurizio; Bertolini, Guido.
Afiliação
  • Nattino G; Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Ranica (BG), Italy.
  • Paganuzzi MM; Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Ranica (BG), Italy.
  • Ghilardi GI; Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Ranica (BG), Italy.
  • Costantino G; Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico di Milano, Milano, Italy.
  • Rossi C; Università degli Studi di Milano, Milano, Italy.
  • Cortellaro F; Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Ranica (BG), Italy.
  • Cosentini R; Azienda Regionale Emergenza Urgenza, Milano, Italy.
  • Paglia S; ASST Papa Giovanni XXIII, Bergamo, Italy.
  • Migliori M; ASST Lodi, Lodi, Italy.
  • Bertolini G; Azienda Regionale Emergenza Urgenza, Milano, Italy.
Health Serv Manage Res ; : 9514848231218648, 2023 Dec 07.
Article em En | MEDLINE | ID: mdl-38059353
ABSTRACT

Background:

The shortage of hospital beds for COVID-19 patients has been one critical cause of Emergency Department (ED) overcrowding.

Purpose:

We aimed at elaborating a strategy of conversion of hospital beds, from non-COVID-19 to COVID-19 care, minimizing both ED overcrowding and the number of beds eventually converted. Research

Design:

Observational retrospective study. Study Sample We considered the centralized database of all ED admissions in the Lombardy region of Italy during the second "COVID-19 wave" (October to December 2020). Data collection and

Analysis:

We analyzed all admissions to 82 EDs. We devised a family of Monte Carlo simulations to evaluate the performance of hospital beds' conversion strategies triggered by ED crowding of COVID-19 patients, determining a critical number of beds to be converted when passing an ED-specific crowding threshold.

Results:

Our results suggest that the maximum number of patients waiting for hospitalization could have been decreased by 70% with the proposed strategy. Such a reduction would have been achieved by converting 30% more hospital beds than the total number converted in the region.

Conclusions:

The disproportion between reduction in ED crowding and additionally converted beds suggests that a wide margin to improve the efficiency of the conversions exists. The proposed simulation apparatus can be easily generalized to study management policies synchronizing ED output and in-hospital bed availability.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Health Serv Manage Res Assunto da revista: PESQUISA EM SERVICOS DE SAUDE / SERVICOS DE SAUDE Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Health Serv Manage Res Assunto da revista: PESQUISA EM SERVICOS DE SAUDE / SERVICOS DE SAUDE Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Itália